Learning Support

Master's Degree Studies at Industrial Engineering and Management

Programme's course packages are worth about 90 credits each representing the workload of 26 hours work including lectures, home work and examination. LUT credit units correspond to ECTS credits. At the end of the studies student will write a M.Sc. thesis counted as an additional 30 credits.

Learning outcomes of the Master's Programmes in Industrial Engineering and Management

After completing the degree, the graduate can

• apply data-analysis and machine learning methods in solving industrial and business problems • use business analytics methods and software in practice • interpret analysis results and present them visually • model industrial and business processes and perform simulation analyses to study and to enhance them • make logical conclusions and recommendations in strategic decision-making situations based on output from decision-support methods • plan and manage development and projects based on business-analytics • understand how analytics and information systems can be used to enhance competitiveness of business • apply new scientific knowledge and methods to develop their competence

The detailed learning outcomes are described in the programme descriptions